Judi Health
Senior Machine Learning Engineer I
$135K–$202K
Charlotte, North Carolina, United States +5 · Senior · Full-time · Posted Aug 5, 2026
- Location
- Charlotte, North Carolina, United States
Denver, Colorado, United States
New York, New York, United States
Charlotte, North Carolina, United States
Denver, Colorado, United States
New York, New York, United States - Experience
- Minimum 4+ years of industry experience focused on ML solutions development and production deployment.
- Education
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
About the job
Designs, builds, and productionizes machine-learning and AI systems for healthcare benefit applications, including document understanding, search, Q&A, and virtual agents.
What you'll do
- Develop Python backend services, APIs, and production ML solutions, including GenAI and agentic systems.
- Build multi-agent orchestration, RAG retrieval/search infrastructure, and CI/CD pipelines; evaluate and validate system performance.
- Collaborate across teams throughout the ML lifecycle, ensure healthcare-data security and HIPAA compliance, and document system designs.
What they ask for
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 4+ years of industry experience focused on developing and productionizing ML solutions.
- Strong proficiency in Python; familiarity with ML libraries such as PyTorch.
- Experience with statistical ML and AI for NLP, Speech, RAG, Virtual Agents, and/or Document Processing; cloud platforms and containerized deployments; GenAI prompting; and evaluation frameworks for non-deterministic/agentic AI systems.
Pay
$161,600 — $202,000 USD (base salary); $148,400 — $185,500 USD (base salary); $134,800 — $168,500 USD (base salary)
Tools
Python, PyTorch, AWS, Azure, OpenAI GPT, Anthropic Claude, Google Gemma
AI focus
Develops and productionizes ML, NLP, NLG, multimodal, LLM/GenAI, RAG, document-understanding, search and Q&A, virtual-agent, and multi-agent systems; builds evaluation and validation methods for agentic AI.
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